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Há 5 dias
We are seeking a highly skilled Data Reliability Engineer to join our software engineering team responsible for maintaining large-scale systems.
This role involves working with experienced developers to ensure the quality, reliability, and availability of data in complex systems.
Key Responsibilities:- Ensuring data integrity and consistency across multiple systems;
- Developing robust data pipelines and monitoring systems to detect issues in real-time;
- Implementing backup and recovery solutions to enhance data reliability;
- Collaborating with cross-functional teams to identify and resolve data quality issues;
- Defining and monitoring data reliability metrics to maintain high standards;
- Proven experience in designing, implementing, and deploying data solutions;
- Proficiency in programming languages such as Python, Java, or Scala;
- Experience with relational and non-relational databases (e.g., BigQuery, MySQL, PostgreSQL);
- Familiarity with big data platforms (Spark, Kafka) and data pipeline orchestration tools (Airflow);
- Strong problem-solving skills, attention to detail, and a deep understanding of data security and reliability;
- Familiarity with cloud environments (AWS, Google Cloud) and DevOps practices;
- Experience with monitoring and alerting tools;
- Ability to share knowledge with the Software Engineering team;
- Sustainable work pace: 40 hours a week of an accelerated but not frenetic rhythm;
- The best tools for productivity; including Macbook, Jetbrains licenses, Slack, Github, TravisCI, NewRelic, DataDog, ElasticSearch, Kibana, Tableau;
- Deep and fast code reviews for any pull requests;
- Constant discussions about our practices and systems, everybody that wants to speak out is always heard;
- You will be free to dedicate part of your time to improve our systems and implement quality features;
- Frequent, fair and transparent performance evaluations;
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